DOI 10.1016/j.xjon.2023.10.014
Hospital characteristics associated with failure to rescue in cardiac surgery.
Аннотация
OBJECTIVE
The study objective was to examine the association between hospital processes of care and failure to rescue in a diverse, multi-institutional cardiac surgery network.
METHODS
Failure to rescue was defined as an operative mortality after 1 or more of 4 complications: prolonged ventilation, stroke, renal failure, and unplanned reoperation. Society of Thoracic Surgeons data from 20,950 consecutive patients in the Columbia HeartSource network who underwent 1 of 7 cardiac operations-coronary artery bypass grafting, aortic valve replacement ± coronary artery bypass grafting, mitral valve repair or replacement ± coronary artery bypass grafting-were analyzed to calculate failure to rescue rates. Hospital-specific characteristics were ascertained by survey method. Multivariable mixed-effects logistic models assessed the association of these hospital characteristics with failure to rescue while adjusting for patient-related factors known to be associated with mortality.
RESULTS
Failure to rescue rates at affiliate hospitals ranged from 5.45% to 21.74% (median, 12.5%; interquartile range, 6.9%). When controlling for Society of Thoracic Surgeons-predicted risk of mortality with hospital as a random effect, 4 hospital characteristics were found to be associated with lower failure to rescue rates; the presence of cardiac-trained anesthesiologists (odds ratio, 0.41; CI, 0.31-0.55, P < .001), availability of extracorporeal membrane oxygenation mechanical circulatory support (odds ratio, 0.41; CI, 0.31-0.54, P < .001), ratio of intensive care unit beds to intensivists (odds ratio, 0.87; CI, 0.76-0.99, P = .039), and total number of intensive care unit beds (odds ratio, 0.97; CI, 0.96-0.99, P = .002).
CONCLUSIONS
In a diverse multi-institutional cardiac surgical network, we were able to identify specific hospital processes of care associated with failure to rescue, even when adjusting for patient-related predictors of operative mortality.
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